D. Gunning
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 375 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 175 citations into it; #24,825 of 35,345 by trust here, #11,490 by citations
- Natural Language Processing — 142 citations into it
- Computer Vision and Pattern Recognition — 67 citations into it
- Evaluation & Benchmarks — 31 citations into it
- Multimodal Learning — 15 citations into it
- Reinforcement Learning — 14 citations into it
- Developmental and Educational Psychology — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom D. Gunning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert R. Hoffman
- D. Lenat
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Tomas Mikolov
- Yann LeCun
Who trusts D. Gunning overall
- Chien-Chang Lin
- David Watson
- Waddah Saeed
- Wenjuan Sun
- Amir-Hossein Karimi
- Anna Y. Q. Huang
- Gesina Schwalbe
- Ahmad Chaddad
- Maarten Sap
- Luciano Floridi
Papers from D. Gunning's perspective
Ordered by how strongly the researchers D. Gunning trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions (2020) — 62 citations
- Machine Common Sense Concept Paper (2018) — 48 citations
- DARPA's Explainable Artificial Intelligence (XAI) Program (2019) — 1,701 citations
- XAI—Explainable artificial intelligence (2019) — 1,734 citations